jukebox VS lm-human-preferences

Compare jukebox vs lm-human-preferences and see what are their differences.

jukebox

Code for the paper "Jukebox: A Generative Model for Music" (by openai)

lm-human-preferences

Code for the paper Fine-Tuning Language Models from Human Preferences (by openai)
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jukebox lm-human-preferences
129 8
7,563 1,106
1.8% 5.3%
0.0 2.7
about 2 months ago 9 months ago
Python Python
GNU General Public License v3.0 or later MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

jukebox

Posts with mentions or reviews of jukebox. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-02.

lm-human-preferences

Posts with mentions or reviews of lm-human-preferences. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-14.

What are some alternatives?

When comparing jukebox and lm-human-preferences you can also consider the following projects:

lucid-sonic-dreams

trl - Train transformer language models with reinforcement learning.

ultimatevocalremovergui - GUI for a Vocal Remover that uses Deep Neural Networks.

GLM-130B - GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)

spleeter - Deezer source separation library including pretrained models.

dalle-mini - DALL·E Mini - Generate images from a text prompt

music-demixing-challenge-starter-kit - Starter kit for getting started in the Music Demixing Challenge.

tensorrtx - Implementation of popular deep learning networks with TensorRT network definition API

glide-text2im - GLIDE: a diffusion-based text-conditional image synthesis model

latent-diffusion - High-Resolution Image Synthesis with Latent Diffusion Models

gpt-2 - Code for the paper "Language Models are Unsupervised Multitask Learners"